Skip to content

Commit

Permalink
Update links
Browse files Browse the repository at this point in the history
  • Loading branch information
agosiewska committed Jul 26, 2021
1 parent 377a8e8 commit a8fdd74
Show file tree
Hide file tree
Showing 7 changed files with 7 additions and 7 deletions.
2 changes: 1 addition & 1 deletion NEWS.md
Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@
* Automated checks for residuals are added. See the `check_residuals()` function.

# auditor 0.3.1
* Repository with the `auditor` package was moved to new GitHub organization ([MI^2 DataLab](https://github.com/MI2DataLab/auditor)).
* Repository with the `auditor` package was moved to new GitHub organization ([MI^2 DataLab](https://github.com/MI2DataLab)).

# auditor 0.3.0
* New five vignettes with examples.
Expand Down
2 changes: 1 addition & 1 deletion R/auditorData.R
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
#' Artifficial auditorData
#' Artificial auditorData
#'
#' The auditor Data is an artificial data set.
#' It consists of 2000 observations.
Expand Down
2 changes: 1 addition & 1 deletion inst/CITATION
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ bibentry(bibtype = "Article",
title = "auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics",
year = "2019",
journal = "The R Journal",
url = {"https://journal.r-project.org/archive/2019/RJ-2019-036"},
url = {"https://journal.r-project.org/archive/2019/RJ-2019-036/"},
pages = "85--98",
volume = "11",
number = "2",
Expand Down
2 changes: 1 addition & 1 deletion man/auditorData.Rd

Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.

2 changes: 1 addition & 1 deletion vignettes/model_performance_audit.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ knitr::opts_chunk$set(message = FALSE)

## Data

To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/pbiecek/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).
To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/ModelOriented/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).

```{r}
library(DALEX)
Expand Down
2 changes: 1 addition & 1 deletion vignettes/model_residuals_audit.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ Most methods provided in auditor package are model-agnostic, what means that the

Use case - predicting a length of life

To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/pbiecek/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).
To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/ModelOriented/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).


```{r}
Expand Down
2 changes: 1 addition & 1 deletion vignettes/observation_influence_audit.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ Observation influence audit, i.e. the impact of individual observation on a mode

## Data

To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/pbiecek/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).
To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/ModelOriented/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).


```{r}
Expand Down

0 comments on commit a8fdd74

Please sign in to comment.